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Book Cover
Book
Author Yang, Ziheng, author

Title Molecular evolution : a statistical approach / Ziheng Yang
Edition First edition
Published Oxford : Oxford University Press, 2014

Copies

Location Call no. Vol. Availability
 MELB  572.838 Yan/Mea  AVAILABLE
Description xv, 492 pages : illustrations ; 26 cm
Contents Models of nucleotide substitution -- Models of amino acid and codon substitution -- Phylogeny reconstruction: overview -- Maximum likelihood methods -- Comparison of phylogenetic methods and tests on trees -- Bayesian theory -- Bayesian computation (MCMC) -- Bayesian phylogenetics -- Coalescent theory and species trees -- Molecular clock and estimation of species divergence times -- Neutral and adaptive protein evolution -- Simulating molecular evolution
Summary "Studies of evolution at the molecular level have experienced phenomenal growth in the last few decades, due to rapid accumulation of genetic sequence data, improved computer hardware and software, and the development of sophisticated analytical methods. The flood of genomic data has generated an acute need for powerful statistical methods and efficient computational algorithms to enable their effective analysis and interpretation. This advanced textbook is aimed at graduate level students and professional researchers (both empiricists and theoreticians) in the fields of bioinformatics and computational biology, statistical genomics, evolutionary biology, molecular systematics, and population genetics. It will also be of relevance and use to a wider audience of applied statisticians, mathematicians, and computer scientists working in computational biology."--back cover
Bibliography Includes bibliographical references (pages 450-487) and index
Subject Molecular evolution -- Mathematical models.
Molecular evolution -- Statistical methods.
Phylogeny -- Molecular aspects.
Evolution, Molecular.
Models, Statistical.
Phylogeny.
Statistics as Topic.
LC no. 2013956540
ISBN 9780199602605 (hardback)
0199602603 (hardback)
9780199602612 (paperback)
0199602611 (paperback)